{"id":"W6999026729","doi":"","title":"20231130 best startup employers canada 2024 methodology","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Production (economics); Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007562006,0.001097563,0.001028685,0.006511829,0.005904275,0.0052538,0.003240792,0.001486667,0.550466],"category_scores_gemma":[0.01681649,0.001375078,0.0007537431,0.004581349,0.001259703,0.001147034,0.002438776,0.002346488,0.2211875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01853664,"about_ca_system_score_gemma":0.08749598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.639508,"about_ca_topic_score_gemma":0.7891763,"domain_scores_codex":[0.9941285,0.0006308106,0.0002609889,0.0006825369,0.003310361,0.0009868798],"domain_scores_gemma":[0.9736878,0.002229683,0.0006700499,0.001683902,0.01920747,0.002520972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000235424,0.0001682681,0.001780703,0.0005352645,0.000008488234,0.00002742681,0.0002325834,0.000158244,0.0001991217,0.005126912,0.92531,0.0662176],"study_design_scores_gemma":[0.0002114541,0.0001012978,0.00943327,0.0006912218,0.00002550777,0.00001835112,0.001171872,0.0002863266,0.0004984796,0.001063824,0.9864553,0.00004301316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.006947935,0.0006208901,0.007965463,0.003126305,0.002419777,0.04978761,0.3775627,0.002211875,0.5493574],"genre_scores_gemma":[0.009394528,0.0003835152,0.01021347,0.002991322,0.0001472532,0.0368894,0.04897457,0.0005211396,0.8904849],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.550466,"threshold_uncertainty_score":0.72523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059834258289755,"score_gpt":0.2274690327704446,"score_spread":0.2068706901875471,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}